Machine Learning Engineer, Data & Machine Learning (DML)
Tasks
- Assess data infrastructure
- Build proof-of-concepts
- Collaborate with stakeholders on AI/ML use cases
- Conduct experiments and optimize performance
- Define strategies for AI and generative AI implementation
- Design AI/ML solutions on AWS
- Develop & deploy machine learning models
- Develop generative AI applications
- Mentor train and create reusable AI ML artifacts
- Prototype new technologies and evaluate feasibility
- Provide guidance on responsible AI and cost efficient deployment
- Select and fine tune machine learning models
- Troubleshoot during project delivery
Perks/Benefits
Skills/Tech-stack
Amazon Web Services | Code Reviews | Continuous Deployment | Data Infrastructure | Development Life Cycle | Experimentation | Fine Tuning | Generative AI | Machine Learning | Model Fine-tuning | Operational excellence | Software Architecture | Software Development Life Cycle | Software development | Testing | Version control | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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